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Large-Scale Chemical Language Representations Capture Molecular
  Structure and Properties

Large-Scale Chemical Language Representations Capture Molecular Structure and Properties

17 June 2021
Jerret Ross
Brian M. Belgodere
Vijil Chenthamarakshan
Inkit Padhi
Youssef Mroueh
Payel Das
    AI4CE
ArXivPDFHTML

Papers citing "Large-Scale Chemical Language Representations Capture Molecular Structure and Properties"

19 / 19 papers shown
Title
SubGrapher: Visual Fingerprinting of Chemical Structures
SubGrapher: Visual Fingerprinting of Chemical Structures
Lucas Morin
Gerhard Ingmar Meijer
Valéry Weber
Luc Van Gool
Peter W. J. Staar
GNN
47
0
0
28 Apr 2025
Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity
Improved Molecular Generation through Attribute-Driven Integrative Embeddings and GAN Selectivity
Nandan Joshi
Erhan Guven
21
0
0
26 Apr 2025
ChemDFM-X: Towards Large Multimodal Model for Chemistry
ChemDFM-X: Towards Large Multimodal Model for Chemistry
Zihan Zhao
B. Chen
Jingpiao Li
Lu Chen
Liyang Wen
...
Ziping Wan
Yansi Li
Zhongyang Dai
Xin Chen
Kai Yu
AI4CE
43
3
0
03 Jan 2025
MAMMAL -- Molecular Aligned Multi-Modal Architecture and Language
MAMMAL -- Molecular Aligned Multi-Modal Architecture and Language
Yoel Shoshan
Moshiko Raboh
Michal Ozery-Flato
Vadim Ratner
Alex Golts
...
Sharon Kurant
Joseph A. Morrone
Parthasarathy Suryanarayanan
Michal Rosen-Zvi
Efrat Hexter
26
1
0
28 Oct 2024
Multi-view biomedical foundation models for molecule-target and property prediction
Multi-view biomedical foundation models for molecule-target and property prediction
Parthasarathy Suryanarayanan
Yunguang Qiu
Shreyans Sethi
Diwakar Mahajan
Hongyang Li
...
Bum Chul Kwon
Pablo Meyer
Feixiong Cheng
Jianying Hu
Joseph A. Morrone
AI4CE
24
0
0
25 Oct 2024
Smirk: An Atomically Complete Tokenizer for Molecular Foundation Models
Smirk: An Atomically Complete Tokenizer for Molecular Foundation Models
Alexius Wadell
Anoushka Bhutani
Venkatasubramanian Viswanathan
30
0
0
19 Sep 2024
Transformers for molecular property prediction: Lessons learned from the
  past five years
Transformers for molecular property prediction: Lessons learned from the past five years
Afnan Sultan
Jochen Sieg
M. Mathea
Andrea Volkamer
AI4CE
27
10
0
05 Apr 2024
GP-MoLFormer: A Foundation Model For Molecular Generation
GP-MoLFormer: A Foundation Model For Molecular Generation
Jerret Ross
Brian M. Belgodere
Samuel C. Hoffman
Vijil Chenthamarakshan
Youssef Mroueh
Payel Das
Payel Das
31
4
0
04 Apr 2024
ADCNet: a unified framework for predicting the activity of antibody-drug
  conjugates
ADCNet: a unified framework for predicting the activity of antibody-drug conjugates
Liye Chen
Biaoshun Li
Yihao Chen
Mujie Lin
Shipeng Zhang
Chenxin Li
Yu Pang
Ling Wang
19
2
0
17 Jan 2024
MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural
  Network
MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural Network
Akihiro Kishimoto
Hiroshi Kajino
Masataka Hirose
Junta Fuchiwaki
Indra Priyadarsini
Lisa Hamada
Hajime Shinohara
D. Nakano
Seiji Takeda
AI4CE
16
4
0
28 Sep 2023
Language models in molecular discovery
Language models in molecular discovery
Chaoqi Wang
Yibo Jiang
Chenghao Yang
Han Liu
Yuxin Chen
14
7
0
28 Sep 2023
Large-scale Pretraining Improves Sample Efficiency of Active Learning
  based Molecule Virtual Screening
Large-scale Pretraining Improves Sample Efficiency of Active Learning based Molecule Virtual Screening
Zhonglin Cao
Simone Sciabola
Ye Wang
27
1
0
20 Sep 2023
Uncovering Neural Scaling Laws in Molecular Representation Learning
Uncovering Neural Scaling Laws in Molecular Representation Learning
Dingshuo Chen
Yanqiao Zhu
Jieyu Zhang
Yuanqi Du
Zhixun Li
Qiang Liu
Shu Wu
Liang Wang
21
15
0
15 Sep 2023
SELFormer: Molecular Representation Learning via SELFIES Language Models
SELFormer: Molecular Representation Learning via SELFIES Language Models
Atakan Yüksel
Erva Ulusoy
Atabey Ünlü
Tunca Dogan
22
54
0
10 Apr 2023
BARTSmiles: Generative Masked Language Models for Molecular
  Representations
BARTSmiles: Generative Masked Language Models for Molecular Representations
Gayane Chilingaryan
Hovhannes Tamoyan
Ani Tevosyan
N. Babayan
L. Khondkaryan
Karen Hambardzumyan
Zaven Navoyan
Hrant Khachatrian
Armen Aghajanyan
SSL
25
25
0
29 Nov 2022
Improving Small Molecule Generation using Mutual Information Machine
Improving Small Molecule Generation using Mutual Information Machine
Daniel A. Reidenbach
M. Livne
Rajesh Ilango
M. Gill
Johnny Israeli
19
14
0
18 Aug 2022
Improving Molecular Contrastive Learning via Faulty Negative Mitigation
  and Decomposed Fragment Contrast
Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast
Yuyang Wang
Rishikesh Magar
Chen Liang
A. Farimani
38
78
0
18 Feb 2022
Pre-training Molecular Graph Representation with 3D Geometry
Pre-training Molecular Graph Representation with 3D Geometry
Shengchao Liu
Hanchen Wang
Weiyang Liu
Joan Lasenby
Hongyu Guo
Jian Tang
112
294
0
07 Oct 2021
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
157
1,748
0
02 Mar 2017
1